Experimental Analysis of Signalling in Gene Regulatory Networks. Global Estimation of mRNA Stability in Yeast. Genomic-wide Methods to Evaluate Transcription Rates in Yeast. Construction of Cis-regulatory Input Functions of Yeast Promoters. Luminescence as a Continuous Real-Time Reporter of Promoter Activity in Yeast Undergoing Respiratory Oscillations or Cell Division Rhythms. Linearizer Gene Circuits with Negative Feedback Regulation. Measuring In vivo Signaling Kinetics in a Mitogen-activated Kinase Pathway using Dynamic Input Stimulation -- Mathematical Modelling of Network Behavior. Stochastic Analysis of Gene Expression. Studying Adaptation and Homeostatic Behaviors of Kinetic Networks by using MATLAB. Biochemical Systems Analysis of Signaling Pathways to Understand Fungal Pathogenicity. Clustering Change Patterns Using Fourier Transformation with Time-course Gene Expression Data -- Analysis of Network Behaviour by Quantitative Genetics. Finding Modulators of Stochasticity Levels by Quantitative Genetics. Functional Mapping of Expression Quantitative Trait Loci That Regulate Oscillatory Gene Expression -- Examination of Network Behaviour in Related Yeast Species. Evolutionary Aspects of a Genetic Network: Studying the Lactose/Galactose Regulon of Kluyveromyces lactis. Analysis of Subtelomeric Silencing in Candida glabrata. Morphological and Molecular Genetic Analysis of Epigenetic Switching of the Human Fungal Pathogen Candida albicans. Quantitation of Cellular Components in Cryptococcus neoformans for System Biology Analysis            .

Regulation of gene expression, a major determinant of gene activity, occupies a central place in molecular biology. Yeast Genetic Networks: Methods and Protocols covers approaches to the systems biological analysis of small-scale gene networks in yeast. Divided into four convenient sections, this detailed volume discusses the methods used to analyze gene expression quantitatively, presents a collection of mathematical and computational tools to analyze stochasticity, adaptation, sensitivity in signal transmission, and oscillations in gene expression, provides instructional methods on how to utilize the tools of quantitative genetics to identify genes that regulate stochasticity and oscillations in gene expression, and concludes with a section devoted to the analysis of conserved gene expression systems and networks in different fungal species. Written in the highly successful Methods in Molecular Biology™ series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls.   Authoritative and accessible, Yeast Genetic Networks: Methods and Protocols serves as an ideal and valuable resource for both novices and experienced researchers.